Lead Data Engineer

Reposted 16 Days Ago
Be an Early Applicant
Hiring Remotely in Chennai, Tamil Nadu
In-Office or Remote
Senior level
Insurance • Software • Energy • Financial Services
The Role
Lead a team of data engineers, focusing on ETL/ELT, data warehousing, and machine learning. Drive engineering best practices and oversee project management.
Summary Generated by Built In
Company Description

Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance.

We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.

Job Description

The Role 

We’re hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed.

You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll be expected to drive engineering excellence — from code quality to deployment hygiene — and play a key role in sprint planning, architectural discussions, and stakeholder collaboration.

This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics.

What you’ll do

  • Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement

  • Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication

  • Set and enforce strong engineering practices around code reviews, testing, observability, and documentation

  • Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales

  • Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer)

  • Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs

  • Ensure data security, compliance, and scalability — especially around first-party customer data

  • Mentor junior engineers through code reviews, pairing, and technical roadmap discussions

 

What You Bring 

  • 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership

  • Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow

  • Deep experience working in GCP, especially BigQuery, GCS, and Composer

  • Strong SQL skills and familiarity with DBT for modeling and documentation

  • Clear understanding of data privacy and governance, including how to safely manage and segment first-party data

  • Experience working in agile environments, including sprint planning and ticket scoping

  • Excellent communication skills and proven ability to work cross-functionally across global teams.

 

Nice to have

  • Experience leading data engineering teams in digital media or performance marketing environments

  • Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4)

  • Exposure to BI tools like Tableau or Looker

  • Experience collaborating with data scientists on ML workflows and experimentation platforms

  • Knowledge of data contracts, schema versioning, or platform ownership patterns

Perks:

● Day off on the 3rd Friday of every month (one long weekend each month)

● Monthly Wellness Reimbursement Program to promote health well-being

● Monthly Office Commutation Reimbursement Program

● Paid paternity and maternity leaves

 

Top Skills

Airflow
BigQuery
Composer
Dbt
GCP
Gcs
Kafka
Python
Spark
SQL
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The Company
HQ: Jersey City, New Jersey
563 Employees
Year Founded: 1917

What We Do

Forbes Advisor is a global platform dedicated to helping consumers make the best financial choices for their individual lives.

We support your pursuit of success by making smart financial decisions simple, to help you get back to doing the things you care about most.

We do this by helping turn your aspirations into reality. By arming you with trusted advice and guidance, you can make informed financial decisions you feel confident in and achieve your financial goals.

Visit Forbes Advisor for unbiased personal finance advice, news and reviews, plus a comparison marketplace that helps you find the financial products that best fit your life and goals.

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